A Machine Learning driven flow modelling of fragmented rocks in cave mining. The project aims to develop an integrated method that uses micro scale and macro scale information to predict block scale behaviour so that a better cave mining design can be established. The role of various mineral composition on the energy storage and fracture properties of rocks will be investigated to examine rock fragmentation for block cave mining. Later Machine Learning based models will be developed to establis ....A Machine Learning driven flow modelling of fragmented rocks in cave mining. The project aims to develop an integrated method that uses micro scale and macro scale information to predict block scale behaviour so that a better cave mining design can be established. The role of various mineral composition on the energy storage and fracture properties of rocks will be investigated to examine rock fragmentation for block cave mining. Later Machine Learning based models will be developed to establish various predictive models for Block Scale rock mass behaviour and caveability of ore deposit. Finally, we will develop a new constitutive model based on a dual damage concept that will capture the rock fragmentation and simulate the cave propagation in a large scale mine layout using Smoothed-particle hydrodynamics.Read moreRead less
Multi-phase modelling and characterisation of mudrush hazard in cave mining. A mudrush is a sudden, uncontrolled flow of wet fine particles (mud) into an underground mine that damages equipment, infrastructure, and can even cause fatalities. This project aims to develop cost-effective management and monitoring of mudrush hazards within the at-risk Carrapateena cave mine operated by OZ Minerals. Building on recent technological and numerical advances, a novel experimental–theoretical–numerical ap ....Multi-phase modelling and characterisation of mudrush hazard in cave mining. A mudrush is a sudden, uncontrolled flow of wet fine particles (mud) into an underground mine that damages equipment, infrastructure, and can even cause fatalities. This project aims to develop cost-effective management and monitoring of mudrush hazards within the at-risk Carrapateena cave mine operated by OZ Minerals. Building on recent technological and numerical advances, a novel experimental–theoretical–numerical approach will be used to simulate mudrush risk based on moisture content, particle sizes, compaction, geological conditions, and seismic energy. Outputs will include a practical framework to boost the safety, productivity, and profitability of caving operations to benefit miners and the broader resources industry.Read moreRead less
Mud pumping under rail tracks: from Micromechanics to Predictions. Mud pumping under rail tracks is identified as the most frequent issue causing the degradation of rail tracks and increasing their ongoing maintenance cost across Australia and worldwide. This project aims to further the understanding of mud pumping mechanisms across different scales. A novel combined experiment-computational approach will be developed to observe, analyse and link different material properties and external condit ....Mud pumping under rail tracks: from Micromechanics to Predictions. Mud pumping under rail tracks is identified as the most frequent issue causing the degradation of rail tracks and increasing their ongoing maintenance cost across Australia and worldwide. This project aims to further the understanding of mud pumping mechanisms across different scales. A novel combined experiment-computational approach will be developed to observe, analyse and link different material properties and external conditions governing the mud pumping process. It will lead to better criteria for mud pumping and numerical tools for field scale failure analysis and risk assessments. The expected outcomes include the enhanced capability to assess the integrity and stability of rail tracks and better design criteria against mud pumping.Read moreRead less
Internal soil erosion: from grain-scale insights to large-scale predictions. This project aims to further the understanding of internal soil erosion across different spatial and temporal scales. Internal soil erosion is the most frequent cause of failures of water retaining structures. An approach combining advanced X-ray techniques with particle based methods will be developed to observe, analyse and link different material properties and external conditions governing the erosion process. This ....Internal soil erosion: from grain-scale insights to large-scale predictions. This project aims to further the understanding of internal soil erosion across different spatial and temporal scales. Internal soil erosion is the most frequent cause of failures of water retaining structures. An approach combining advanced X-ray techniques with particle based methods will be developed to observe, analyse and link different material properties and external conditions governing the erosion process. This will lead to better criteria for soil erosion and numerical tools for field scale failure analysis and risk assessments. The expected outcomes of this project include enhanced capability to assess the integrity and stability of earth structures and better design criteria against erosion.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100577
Funder
Australian Research Council
Funding Amount
$372,536.00
Summary
Numerical modeling of hydraulic fracturing for unconventional gas recovery. The project seeks to improve our understanding of the mechanics and physics of hydraulic fracturing in unconventional shale/tight gas reservoirs. By determining key aspects of the mechanics and physics of hydraulic fractures in naturally fractured unconventional reservoirs the project aims to build an accurate continuum hydro-mechanical model for hydraulic fracturing stimulation. The new computational approach and softwa ....Numerical modeling of hydraulic fracturing for unconventional gas recovery. The project seeks to improve our understanding of the mechanics and physics of hydraulic fracturing in unconventional shale/tight gas reservoirs. By determining key aspects of the mechanics and physics of hydraulic fractures in naturally fractured unconventional reservoirs the project aims to build an accurate continuum hydro-mechanical model for hydraulic fracturing stimulation. The new computational approach and software is expected to improve our fundamental understanding of the underlying physics of initiation and propagation of hydraulic fractures and their interactions with pre-existing natural faults. This has the potential to benefit the natural gas industry by providing information for better hydraulic fracture treatments and mitigation of the inherent risks of hydraulic fracturing and other processes.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100079
Funder
Australian Research Council
Funding Amount
$267,000.00
Summary
Advanced digital image correlation facility. This project aims to establish a facility that analyses three-dimensional and transient events for nearly any type of application, material and size scale. Digital Image correlation technologies are widely used to measure displacements and strains due to their accuracy, robustness, versatility and overall ease of use. This project will characterise materials from quasi-static to ballistic range of loading, crucial to develop and validate advanced anal ....Advanced digital image correlation facility. This project aims to establish a facility that analyses three-dimensional and transient events for nearly any type of application, material and size scale. Digital Image correlation technologies are widely used to measure displacements and strains due to their accuracy, robustness, versatility and overall ease of use. This project will characterise materials from quasi-static to ballistic range of loading, crucial to develop and validate advanced analytical and numerical models. The proposed infrastructure is expected to enhance experimental capabilities, and foster collaborative research across mechanical, civil, mining, sports, aerospace, automotive, marine and materials engineering.Read moreRead less
Liquefaction of silty soils: Micromechanics, modelling and prediction. The project aims to develop a numerical approach to understand liquefaction in silty soils. Liquefaction of silty soils in submarine landslides, mine tailings dam failures and cargo liquefaction in vessels carrying iron/nickel ores can cause property loss and be fatal. This project will bridge the behaviours across the scales and deliver constitutive models that possess grain scale mechanisms for better prediction of liquefac ....Liquefaction of silty soils: Micromechanics, modelling and prediction. The project aims to develop a numerical approach to understand liquefaction in silty soils. Liquefaction of silty soils in submarine landslides, mine tailings dam failures and cargo liquefaction in vessels carrying iron/nickel ores can cause property loss and be fatal. This project will bridge the behaviours across the scales and deliver constitutive models that possess grain scale mechanisms for better prediction of liquefaction induced failure at the large scales. The expected outcomes are liquefaction criteria for silty soils with different silt contents and numerical tools to predict the onset of liquefaction and flow of liquefied soils.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100117
Funder
Australian Research Council
Funding Amount
$940,000.00
Summary
An advanced, macro-scale, hydro-thermo-mechanical testing chamber for sustainable deep geological applications. The Advanced Macro-scale Testing Chamber (AMTC) is a novel laboratory testing device capable of recreating deep geological conditions which can occur at depths of up to 13km underground. The AMTC will help scientists and engineers understand the Earth's behaviour during deep geological activities such as geothermal energy collection, pollutant disposal, underground mining and earthquak ....An advanced, macro-scale, hydro-thermo-mechanical testing chamber for sustainable deep geological applications. The Advanced Macro-scale Testing Chamber (AMTC) is a novel laboratory testing device capable of recreating deep geological conditions which can occur at depths of up to 13km underground. The AMTC will help scientists and engineers understand the Earth's behaviour during deep geological activities such as geothermal energy collection, pollutant disposal, underground mining and earthquake modelling.Read moreRead less